Below is a running list of my coursework at Duke.
Teaching
- TA — Graduate Numerical Analysis (STA 612D / MATH 565 / COMPSCI 520)
Graduate Coursework
- ECE 685D — Deep Learning
- COMPSCI 671D — Theory & Algorithms of Machine Learning
- COMPSCI 572 — Natural Language Processing
- COMPSCI 532 — Advanced Algorithms
- COMPSCI 521 — Graph-Matrix Analysis
- COMPSCI 516 — Database Systems
- MATH 541 — Stochastic Processes
- MATH 501 — Abstract Algebra
- STA 602L — Bayesian Statistics
- STA 612D — Numerical Analysis
Undergraduate Coursework
- MATH 221 — Linear Algebra
- MATH 222 — Advanced Multivariable Calculus
- MATH 281S — Problem Solving Seminar
- MATH 340 — Advanced Probability
- MATH 431 — Real Analysis
- COMPSCI 201 — Data Structures and Algorithms
- COMPSCI 210D — Computer Systems
- COMPSCI 330 — Design/Analysis of Algorithms
- COMPSCI 474 — Data Science Competition
- STA 210L — Regression Analysis
- STA 211 — Math of Regression
